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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 11-RES-JB
    11. 14206
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    Explanations

    phrases related to tagging or labeling something

    oai_token-act-pair · gpt-3.5-turbo

    references to tags, particularly related to media and marketing content

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.hook_resid_pre
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    isky
    -0.72
    icably
    -0.65
     Rae
    -0.61
    rawdownloadcloneembedreportprint
    -0.60
     Seym
    -0.59
     Continental
    -0.57
    cale
    -0.55
     Bie
    -0.53
     perspect
    -0.53
     Lear
    -0.53
    POSITIVE LOGITS
    gers
    1.31
    ged
    1.20
    alog
    1.14
    ger
    1.08
    ging
    1.06
    along
    1.03
    line
    1.00
    lines
    0.98
    gered
    0.96
    tags
    0.96
    Activations Density 0.041%

    No Known Activations